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111 lines (108 loc) · 1.94 KB
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------------
Fold 1
RMSE: 1.1146
------------
Fold 2
RMSE: 1.1033
------------
Fold 3
RMSE: 1.0979
------------
Fold 4
RMSE: 1.0961
------------
Fold 5
RMSE: 1.1029
------------
------------
Mean RMSE: 1.1029
------------
------------
Evaluating RMSE of algorithm SVD.
------------
Fold 1
RMSE: 1.1665
------------
Fold 2
RMSE: 1.1584
------------
Fold 3
RMSE: 1.1526
------------
Fold 4
RMSE: 1.1536
------------
Fold 5
RMSE: 1.1608
------------
------------
Mean RMSE: 1.1584
------------
------------
Evaluating RMSE of algorithm KNNBaseline.
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Fold 1
Estimating biases using als...
Computing the pearson similarity matrix...
Done computing similarity matrix.
RMSE: 1.1014
------------
Fold 2
Estimating biases using als...
Computing the pearson similarity matrix...
Done computing similarity matrix.
RMSE: 1.0901
------------
Fold 3
Estimating biases using als...
Computing the pearson similarity matrix...
Done computing similarity matrix.
RMSE: 1.0839
------------
Fold 4
Estimating biases using als...
Computing the pearson similarity matrix...
Done computing similarity matrix.
RMSE: 1.0849
------------
Fold 5
Estimating biases using als...
Computing the pearson similarity matrix...
Done computing similarity matrix.
RMSE: 1.0906
------------
------------
Mean RMSE: 1.0902
------------
------------
Evaluating RMSE of algorithm KNNBasic.
------------
Fold 1
Computing the pearson similarity matrix...
Done computing similarity matrix.
RMSE: 1.1775
------------
Fold 2
Computing the pearson similarity matrix...
Done computing similarity matrix.
RMSE: 1.1711
------------
Fold 3
Computing the pearson similarity matrix...
Done computing similarity matrix.
RMSE: 1.1678
------------
Fold 4
Computing the pearson similarity matrix...
Done computing similarity matrix.
RMSE: 1.1651
------------
Fold 5
Computing the pearson similarity matrix...
Done computing similarity matrix.
RMSE: 1.1738
------------
------------
Mean RMSE: 1.1710
------------
------------